Abstract
Sensor networks composed of static and mobile sensors are applicable for situation monitoring. In this paper, we propose SensorAware, an interactive system for visualizing and exploring spatial–temporal data from static and mobile sensors. Our system follows the procedure starting with an overview, then zoom and filter, and finally details-on-demand. We use pixel-based time-series visualization to show overall readings from individual sensors, and the readings of mobile sensors are aggregated spatially to display the distribution of sensor readings. SensorAware provides cross-filtering and details-on-demand interactions, which allow users to investigate data at different levels of details from both spatial and temporal aspects.
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Acknowledgements
This work is funded by the National Key Research and Development Program of China No. 2016QY02D0304. This work is also supported by PKU-Qihoo Joint Data Visual Analytics Research Center.
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Wei, D., Li, C., Shao, H. et al. SensorAware: visual analysis of both static and mobile sensor information. J Vis 24, 597–613 (2021). https://doi.org/10.1007/s12650-020-00717-z
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DOI: https://doi.org/10.1007/s12650-020-00717-z